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      Integrating the SD-CLUE-S and InVEST models into assessment of oasis carbon storage in northwestern China

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          Abstract

          Spatio-temporal integrated assessment of land-use change impacts on carbon storage services is a new and important research field in land science and landscape ecology. The objective of this paper is to use an integrated SD-CLUE-S and InVEST model to simulate and predict land-use changes impacts during 2000–2018 on carbon storage at pixel and regional scales in the Zhangye oasis, Northwest China. The SD-CLUE-S model was used to simulate land-use change, and three land-use scenarios (current trend, moderate protection, and strict protection) were defined in collaboration with oasis socioeconomic development and ecological environment conservation by local government. The InVEST model was then used to simulate land-use change impacts on carbon storage at different scales in the oasis. The results showed that: (1) the effects of built-up land expansion were especially notable, with a rapid decrease in cropland during 2009–2018; (2) the strict protection scenario saved the largest amount of carbon storage for the oasis compared with the current trend and moderate protection scenarios. The scientific value of this study has been to show that the proposed modeling method can be used to reflect different land-use patterns and their effects on ecosystem services at multiple scales in the oasis. Furthermore, this research can be used to help government managers encourage stakeholders to contribute funds and strategies to maintain oasis landscape patterns and ecological processes by implementing local plans for potential conservation projects.

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          The impact of projected increases in urbanization on ecosystem services.

          Alteration in land use is likely to be a major driver of changes in the distribution of ecosystem services before 2050. In Europe, urbanization will probably be the main cause of land-use change. This increase in urbanization will result in spatial shifts in both supplies of ecosystem services and the beneficiaries of those services; the net outcome of such shifts remains to be determined. Here, we model changes in urban land cover in Britain based on large (16%) projected increases in the human population by 2031, and the consequences for three different services--flood mitigation, agricultural production and carbon storage. We show that under a scenario of densification of urban areas, the combined effect of increasing population and loss of permeable surfaces is likely to result in 1.7 million people living within 1 km of rivers with at least 10 per cent increases in projected peak flows, but that increasing suburban 'sprawl' will have little effect on flood mitigation services. Conversely, losses of stored carbon and agricultural production are over three times as high under the sprawl as under the 'densification' urban growth scenarios. Our results illustrate the challenges of meeting, but also of predicting, future demands and patterns of ecosystem services in the face of increasing urbanization.
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            Securing natural capital and expanding equity to rescale civilization.

            In biophysical terms, humanity has never been moving faster nor further from sustainability than it is now. Our increasing population size and per capita impacts are severely testing the ability of Earth to provide for peoples' most basic needs. Awareness of these circumstances has grown tremendously, as has the sophistication of efforts to address them. But the complexity of the challenge remains daunting. We explore prospects for transformative change in three critical areas of sustainable development: achieving a sustainable population size and securing vital natural capital, both in part through reducing inequity, and strengthening the societal leadership of academia.
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              Assessing the potential impacts of urban expansion on regional carbon storage by linking the LUSD-urban and InVEST models

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 February 2017
                2017
                : 12
                : 2
                : e0172494
                Affiliations
                [1 ]School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan, Hubei Province, China
                [2 ]Meteorological Service Center of Gansu Province, Lanzhou, Gansu Province, China
                Pacific Northwest National Laboratory, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: YL.

                • Data curation: YL LL.

                • Formal analysis: LL JH.

                • Funding acquisition: YL.

                • Investigation: LL YL.

                • Methodology: YL LL.

                • Project administration: YL.

                • Resources: YL.

                • Software: YL.

                • Supervision: YL.

                • Validation: YL LL.

                • Visualization: LL YL.

                • Writing – original draft: YL.

                • Writing – review & editing: YL JH.

                Article
                PONE-D-16-25571
                10.1371/journal.pone.0172494
                5322964
                28231328
                715d6505-1576-4a20-9151-11c75e4f653e
                © 2017 Liang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 June 2016
                : 6 February 2017
                Page count
                Figures: 6, Tables: 4, Pages: 15
                Funding
                Funded by: the Fundamental Research Funds for the Central Universities
                Award ID: WUT: 2016IVA044
                Award Recipient :
                Funded by: the National Natural Science Foundation of China
                Award ID: 41601184
                Award Recipient :
                This work was supported by the National Natural Science Foundation of China (41601184) and the Fundamental Research Funds for the Central Universities (WUT: 2016IVA044).
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